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<div class="title">AccelerateSupport.h</div>  </div>
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<div class="contents">
<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="preprocessor">#ifndef EIGEN_ACCELERATESUPPORT_H</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="preprocessor">#define EIGEN_ACCELERATESUPPORT_H</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160; </div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="preprocessor">#include &lt;Accelerate/Accelerate.h&gt;</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160; </div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#include &lt;Eigen/Sparse&gt;</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160; </div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespaceEigen.html">Eigen</a> {</div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160; </div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> MatrixType_, <span class="keywordtype">int</span> UpLo_, SparseFactorization_t Solver_, <span class="keywordtype">bool</span> EnforceSquare_&gt;</div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="keyword">class </span>AccelerateImpl;</div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160; </div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> MatrixType, <span class="keywordtype">int</span> UpLo = Lower&gt;</div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="keyword">using</span> <a class="code" href="classAccelerateLLT.html">AccelerateLLT</a> = AccelerateImpl&lt;MatrixType, UpLo | Symmetric, SparseFactorizationCholesky, true&gt;;</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160; </div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> MatrixType, <span class="keywordtype">int</span> UpLo = Lower&gt;</div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="keyword">using</span> <a class="code" href="classAccelerateLDLT.html">AccelerateLDLT</a> = AccelerateImpl&lt;MatrixType, UpLo | Symmetric, SparseFactorizationLDLT, true&gt;;</div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160; </div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> MatrixType, <span class="keywordtype">int</span> UpLo = Lower&gt;</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="keyword">using</span> <a class="code" href="classAccelerateLDLTUnpivoted.html">AccelerateLDLTUnpivoted</a> = AccelerateImpl&lt;MatrixType, UpLo | Symmetric, SparseFactorizationLDLTUnpivoted, true&gt;;</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160; </div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> MatrixType, <span class="keywordtype">int</span> UpLo = Lower&gt;</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;<span class="keyword">using</span> <a class="code" href="classAccelerateLDLTSBK.html">AccelerateLDLTSBK</a> = AccelerateImpl&lt;MatrixType, UpLo | Symmetric, SparseFactorizationLDLTSBK, true&gt;;</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160; </div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> MatrixType, <span class="keywordtype">int</span> UpLo = Lower&gt;</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<span class="keyword">using</span> <a class="code" href="classAccelerateLDLTTPP.html">AccelerateLDLTTPP</a> = AccelerateImpl&lt;MatrixType, UpLo | Symmetric, SparseFactorizationLDLTTPP, true&gt;;</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160; </div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> MatrixType&gt;</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;<span class="keyword">using</span> <a class="code" href="classAccelerateQR.html">AccelerateQR</a> = AccelerateImpl&lt;MatrixType, 0, SparseFactorizationQR, false&gt;;</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160; </div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> MatrixType&gt;</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;<span class="keyword">using</span> <a class="code" href="classAccelerateCholeskyAtA.html">AccelerateCholeskyAtA</a> = AccelerateImpl&lt;MatrixType, 0, SparseFactorizationCholeskyAtA, false&gt;;</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160; </div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;<span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;<span class="keyword">struct </span>AccelFactorizationDeleter {</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;  <span class="keywordtype">void</span> operator()(T* sym) {</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    <span class="keywordflow">if</span> (sym) {</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;      SparseCleanup(*sym);</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;      <span class="keyword">delete</span> sym;</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;      sym = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    }</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;  }</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;};</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160; </div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> DenseVecT, <span class="keyword">typename</span> DenseMatT, <span class="keyword">typename</span> SparseMatT, <span class="keyword">typename</span> NumFactT&gt;</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;<span class="keyword">struct </span>SparseTypesTraitBase {</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;  <span class="keyword">typedef</span> DenseVecT AccelDenseVector;</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;  <span class="keyword">typedef</span> DenseMatT AccelDenseMatrix;</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;  <span class="keyword">typedef</span> SparseMatT AccelSparseMatrix;</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160; </div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;  <span class="keyword">typedef</span> SparseOpaqueSymbolicFactorization SymbolicFactorization;</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;  <span class="keyword">typedef</span> NumFactT NumericFactorization;</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160; </div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;  <span class="keyword">typedef</span> AccelFactorizationDeleter&lt;SymbolicFactorization&gt; SymbolicFactorizationDeleter;</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;  <span class="keyword">typedef</span> AccelFactorizationDeleter&lt;NumericFactorization&gt; NumericFactorizationDeleter;</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;};</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160; </div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Scalar&gt;</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;<span class="keyword">struct </span>SparseTypesTrait {};</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160; </div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;<span class="keyword">template</span> &lt;&gt;</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;<span class="keyword">struct </span>SparseTypesTrait&lt;double&gt; : SparseTypesTraitBase&lt;DenseVector_Double, DenseMatrix_Double, SparseMatrix_Double,</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;                                                       SparseOpaqueFactorization_Double&gt; {};</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160; </div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;<span class="keyword">template</span> &lt;&gt;</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;<span class="keyword">struct </span>SparseTypesTrait&lt;float&gt;</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    : SparseTypesTraitBase&lt;DenseVector_Float, DenseMatrix_Float, SparseMatrix_Float, SparseOpaqueFactorization_Float&gt; {</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;};</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160; </div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;}  <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160; </div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> MatrixType_, <span class="keywordtype">int</span> UpLo_, SparseFactorization_t Solver_, <span class="keywordtype">bool</span> EnforceSquare_&gt;</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;<span class="keyword">class </span>AccelerateImpl : <span class="keyword">public</span> SparseSolverBase&lt;AccelerateImpl&lt;MatrixType_, UpLo_, Solver_, EnforceSquare_&gt; &gt; {</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160; <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;  <span class="keyword">using</span> Base = SparseSolverBase&lt;AccelerateImpl&gt;;</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;  <span class="keyword">using</span> Base::derived;</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;  <span class="keyword">using</span> Base::m_isInitialized;</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160; </div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160; <span class="keyword">public</span>:</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;  <span class="keyword">using</span> Base::_solve_impl;</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160; </div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;  <span class="keyword">typedef</span> MatrixType_ MatrixType;</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Scalar Scalar;</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::StorageIndex StorageIndex;</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;  <span class="keyword">enum</span> { ColsAtCompileTime = <a class="code" href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Dynamic</a>, MaxColsAtCompileTime = <a class="code" href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Dynamic</a> };</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;  <span class="keyword">enum</span> { UpLo = UpLo_ };</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160; </div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;  <span class="keyword">using</span> AccelDenseVector = <span class="keyword">typename</span> internal::SparseTypesTrait&lt;Scalar&gt;::AccelDenseVector;</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;  <span class="keyword">using</span> AccelDenseMatrix = <span class="keyword">typename</span> internal::SparseTypesTrait&lt;Scalar&gt;::AccelDenseMatrix;</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;  <span class="keyword">using</span> AccelSparseMatrix = <span class="keyword">typename</span> internal::SparseTypesTrait&lt;Scalar&gt;::AccelSparseMatrix;</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;  <span class="keyword">using</span> SymbolicFactorization = <span class="keyword">typename</span> internal::SparseTypesTrait&lt;Scalar&gt;::SymbolicFactorization;</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;  <span class="keyword">using</span> NumericFactorization = <span class="keyword">typename</span> internal::SparseTypesTrait&lt;Scalar&gt;::NumericFactorization;</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;  <span class="keyword">using</span> SymbolicFactorizationDeleter = <span class="keyword">typename</span> internal::SparseTypesTrait&lt;Scalar&gt;::SymbolicFactorizationDeleter;</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;  <span class="keyword">using</span> NumericFactorizationDeleter = <span class="keyword">typename</span> internal::SparseTypesTrait&lt;Scalar&gt;::NumericFactorizationDeleter;</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160; </div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;  AccelerateImpl() {</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    m_isInitialized = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160; </div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;    <span class="keyword">auto</span> check_flag_set = [](<span class="keywordtype">int</span> value, <span class="keywordtype">int</span> flag) { <span class="keywordflow">return</span> ((value &amp; flag) == flag); };</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160; </div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;    <span class="keywordflow">if</span> (check_flag_set(UpLo_, <a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdad5381b2d1c8973a08303c94e7da02333">Symmetric</a>)) {</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;      m_sparseKind = SparseSymmetric;</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;      m_triType = (UpLo_ &amp; <a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>) ? SparseLowerTriangle : SparseUpperTriangle;</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (check_flag_set(UpLo_, <a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cda8f40b928c10a71ba03e5f75ad2a72fda">UnitLower</a>)) {</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;      m_sparseKind = SparseUnitTriangular;</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;      m_triType = SparseLowerTriangle;</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (check_flag_set(UpLo_, <a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdadd28224d7ea92689930be73c1b50b0ad">UnitUpper</a>)) {</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;      m_sparseKind = SparseUnitTriangular;</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;      m_triType = SparseUpperTriangle;</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;    } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (check_flag_set(UpLo_, <a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cda2424988b6fca98be70b595632753ba81">StrictlyLower</a>)) {</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;      m_sparseKind = SparseTriangular;</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;      m_triType = SparseLowerTriangle;</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;    } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (check_flag_set(UpLo_, <a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cda7b37877e0b9b0df28c9c2b669a633265">StrictlyUpper</a>)) {</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;      m_sparseKind = SparseTriangular;</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;      m_triType = SparseUpperTriangle;</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;    } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (check_flag_set(UpLo_, <a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>)) {</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;      m_sparseKind = SparseTriangular;</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;      m_triType = SparseLowerTriangle;</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (check_flag_set(UpLo_, <a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a>)) {</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;      m_sparseKind = SparseTriangular;</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;      m_triType = SparseUpperTriangle;</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;      m_sparseKind = SparseOrdinary;</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;      m_triType = (UpLo_ &amp; <a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>) ? SparseLowerTriangle : SparseUpperTriangle;</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;    }</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160; </div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;    m_order = SparseOrderDefault;</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;  }</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160; </div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;  <span class="keyword">explicit</span> AccelerateImpl(<span class="keyword">const</span> MatrixType&amp; matrix) : AccelerateImpl() { compute(matrix); }</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160; </div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;  ~AccelerateImpl() {}</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160; </div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;  <span class="keyword">inline</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> cols()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_nCols; }</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;  <span class="keyword">inline</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> rows()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_nRows; }</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160; </div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;  <a class="code" href="group__enums.html#ga85fad7b87587764e5cf6b513a9e0ee5e">ComputationInfo</a> info()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;    eigen_assert(m_isInitialized &amp;&amp; <span class="stringliteral">&quot;Decomposition is not initialized.&quot;</span>);</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;    <span class="keywordflow">return</span> m_info;</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;  }</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160; </div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;  <span class="keywordtype">void</span> analyzePattern(<span class="keyword">const</span> MatrixType&amp; matrix);</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160; </div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;  <span class="keywordtype">void</span> factorize(<span class="keyword">const</span> MatrixType&amp; matrix);</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160; </div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;  <span class="keywordtype">void</span> compute(<span class="keyword">const</span> MatrixType&amp; matrix);</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160; </div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Dest&gt;</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;  <span class="keywordtype">void</span> _solve_impl(<span class="keyword">const</span> MatrixBase&lt;Rhs&gt;&amp; b, MatrixBase&lt;Dest&gt;&amp; dest) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160; </div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;  <span class="keywordtype">void</span> setOrder(SparseOrder_t order) { m_order = order; }</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160; </div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160; <span class="keyword">private</span>:</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;  <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;  <span class="keywordtype">void</span> buildAccelSparseMatrix(<span class="keyword">const</span> SparseMatrix&lt;T&gt;&amp; a, AccelSparseMatrix&amp; A, std::vector&lt;long&gt;&amp; columnStarts) {</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> nColumnsStarts = a.cols() + 1;</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160; </div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    columnStarts.resize(nColumnsStarts);</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160; </div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;    <span class="keywordflow">for</span> (<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i = 0; i &lt; nColumnsStarts; i++) columnStarts[i] = a.outerIndexPtr()[i];</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160; </div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    SparseAttributes_t attributes{};</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;    attributes.transpose = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;    attributes.triangle = m_triType;</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;    attributes.kind = m_sparseKind;</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160; </div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;    SparseMatrixStructure structure{};</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;    structure.attributes = attributes;</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;    structure.rowCount = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(a.rows());</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;    structure.columnCount = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(a.cols());</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;    structure.blockSize = 1;</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;    structure.columnStarts = columnStarts.data();</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;    structure.rowIndices = <span class="keyword">const_cast&lt;</span><span class="keywordtype">int</span>*<span class="keyword">&gt;</span>(a.innerIndexPtr());</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160; </div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;    A.structure = structure;</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;    A.data = <span class="keyword">const_cast&lt;</span>T*<span class="keyword">&gt;</span>(a.valuePtr());</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;  }</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160; </div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;  <span class="keywordtype">void</span> doAnalysis(AccelSparseMatrix&amp; A) {</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;    m_numericFactorization.reset(<span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160; </div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;    SparseSymbolicFactorOptions opts{};</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;    opts.control = SparseDefaultControl;</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;    opts.orderMethod = m_order;</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;    opts.order = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;    opts.ignoreRowsAndColumns = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;    opts.malloc = malloc;</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;    opts.free = free;</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;    opts.reportError = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160; </div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;    m_symbolicFactorization.reset(<span class="keyword">new</span> SymbolicFactorization(SparseFactor(Solver_, A.structure, opts)));</div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160; </div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;    SparseStatus_t status = m_symbolicFactorization-&gt;status;</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160; </div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;    updateInfoStatus(status);</div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160; </div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;    <span class="keywordflow">if</span> (status != SparseStatusOK) m_symbolicFactorization.reset(<span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;  }</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160; </div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;  <span class="keywordtype">void</span> doFactorization(AccelSparseMatrix&amp; A) {</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;    SparseStatus_t status = SparseStatusReleased;</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160; </div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;    <span class="keywordflow">if</span> (m_symbolicFactorization) {</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;      m_numericFactorization.reset(<span class="keyword">new</span> NumericFactorization(SparseFactor(*m_symbolicFactorization, A)));</div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160; </div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;      status = m_numericFactorization-&gt;status;</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160; </div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;      <span class="keywordflow">if</span> (status != SparseStatusOK) m_numericFactorization.reset(<span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;    }</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160; </div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;    updateInfoStatus(status);</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;  }</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160; </div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160; <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;  <span class="keywordtype">void</span> updateInfoStatus(SparseStatus_t status)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;    <span class="keywordflow">switch</span> (status) {</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;      <span class="keywordflow">case</span> SparseStatusOK:</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;        m_info = <a class="code" href="group__enums.html#gga85fad7b87587764e5cf6b513a9e0ee5ea671a2aeb0f527802806a441d58a80fcf">Success</a>;</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;        <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;      <span class="keywordflow">case</span> SparseFactorizationFailed:</div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;      <span class="keywordflow">case</span> SparseMatrixIsSingular:</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;        m_info = <a class="code" href="group__enums.html#gga85fad7b87587764e5cf6b513a9e0ee5ea1c6e20706575a629b27a105f07f1883b">NumericalIssue</a>;</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;        <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;      <span class="keywordflow">case</span> SparseInternalError:</div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;      <span class="keywordflow">case</span> SparseParameterError:</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;      <span class="keywordflow">case</span> SparseStatusReleased:</div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;      <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;        m_info = <a class="code" href="group__enums.html#gga85fad7b87587764e5cf6b513a9e0ee5ea580b2a3cafe585691e789f768fb729bf">InvalidInput</a>;</div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;        <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;    }</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;  }</div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160; </div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;  <span class="keyword">mutable</span> <a class="code" href="group__enums.html#ga85fad7b87587764e5cf6b513a9e0ee5e">ComputationInfo</a> m_info;</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;  <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> m_nRows, m_nCols;</div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;  std::unique_ptr&lt;SymbolicFactorization, SymbolicFactorizationDeleter&gt; m_symbolicFactorization;</div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;  std::unique_ptr&lt;NumericFactorization, NumericFactorizationDeleter&gt; m_numericFactorization;</div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;  SparseKind_t m_sparseKind;</div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;  SparseTriangle_t m_triType;</div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;  SparseOrder_t m_order;</div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;};</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160; </div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> MatrixType_, <span class="keywordtype">int</span> UpLo_, SparseFactorization_t Solver_, <span class="keywordtype">bool</span> EnforceSquare_&gt;</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;<span class="keywordtype">void</span> AccelerateImpl&lt;MatrixType_, UpLo_, Solver_, EnforceSquare_&gt;::compute(<span class="keyword">const</span> MatrixType&amp; a) {</div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;  <span class="keywordflow">if</span> (EnforceSquare_) eigen_assert(a.rows() == a.cols());</div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160; </div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;  m_nRows = a.rows();</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;  m_nCols = a.cols();</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160; </div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;  AccelSparseMatrix A{};</div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;  std::vector&lt;long&gt; columnStarts;</div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160; </div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;  buildAccelSparseMatrix(a, A, columnStarts);</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160; </div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;  doAnalysis(A);</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160; </div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;  <span class="keywordflow">if</span> (m_symbolicFactorization) doFactorization(A);</div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160; </div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;  m_isInitialized = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;}</div>
<div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160; </div>
<div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> MatrixType_, <span class="keywordtype">int</span> UpLo_, SparseFactorization_t Solver_, <span class="keywordtype">bool</span> EnforceSquare_&gt;</div>
<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;<span class="keywordtype">void</span> AccelerateImpl&lt;MatrixType_, UpLo_, Solver_, EnforceSquare_&gt;::analyzePattern(<span class="keyword">const</span> MatrixType&amp; a) {</div>
<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;  <span class="keywordflow">if</span> (EnforceSquare_) eigen_assert(a.rows() == a.cols());</div>
<div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160; </div>
<div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;  m_nRows = a.rows();</div>
<div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;  m_nCols = a.cols();</div>
<div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160; </div>
<div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;  AccelSparseMatrix A{};</div>
<div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;  std::vector&lt;long&gt; columnStarts;</div>
<div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160; </div>
<div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;  buildAccelSparseMatrix(a, A, columnStarts);</div>
<div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160; </div>
<div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;  doAnalysis(A);</div>
<div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160; </div>
<div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;  m_isInitialized = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;}</div>
<div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160; </div>
<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> MatrixType_, <span class="keywordtype">int</span> UpLo_, SparseFactorization_t Solver_, <span class="keywordtype">bool</span> EnforceSquare_&gt;</div>
<div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;<span class="keywordtype">void</span> AccelerateImpl&lt;MatrixType_, UpLo_, Solver_, EnforceSquare_&gt;::factorize(<span class="keyword">const</span> MatrixType&amp; a) {</div>
<div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;  eigen_assert(m_symbolicFactorization &amp;&amp; <span class="stringliteral">&quot;You must first call analyzePattern()&quot;</span>);</div>
<div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;  eigen_assert(m_nRows == a.rows() &amp;&amp; m_nCols == a.cols());</div>
<div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160; </div>
<div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;  <span class="keywordflow">if</span> (EnforceSquare_) eigen_assert(a.rows() == a.cols());</div>
<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160; </div>
<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;  AccelSparseMatrix A{};</div>
<div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;  std::vector&lt;long&gt; columnStarts;</div>
<div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160; </div>
<div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;  buildAccelSparseMatrix(a, A, columnStarts);</div>
<div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160; </div>
<div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;  doFactorization(A);</div>
<div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;}</div>
<div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160; </div>
<div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> MatrixType_, <span class="keywordtype">int</span> UpLo_, SparseFactorization_t Solver_, <span class="keywordtype">bool</span> EnforceSquare_&gt;</div>
<div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Dest&gt;</div>
<div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;<span class="keywordtype">void</span> AccelerateImpl&lt;MatrixType_, UpLo_, Solver_, EnforceSquare_&gt;::_solve_impl(<span class="keyword">const</span> MatrixBase&lt;Rhs&gt;&amp; b,</div>
<div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;                                                                              MatrixBase&lt;Dest&gt;&amp; x)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;  <span class="keywordflow">if</span> (!m_numericFactorization) {</div>
<div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;    m_info = <a class="code" href="group__enums.html#gga85fad7b87587764e5cf6b513a9e0ee5ea580b2a3cafe585691e789f768fb729bf">InvalidInput</a>;</div>
<div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;    <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;  }</div>
<div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160; </div>
<div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;  eigen_assert(m_nRows == b.rows());</div>
<div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;  eigen_assert(((b.cols() == 1) || b.outerStride() == b.rows()));</div>
<div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160; </div>
<div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;  SparseStatus_t status = SparseStatusOK;</div>
<div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160; </div>
<div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;  Scalar* b_ptr = <span class="keyword">const_cast&lt;</span>Scalar*<span class="keyword">&gt;</span>(b.derived().data());</div>
<div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;  Scalar* x_ptr = <span class="keyword">const_cast&lt;</span>Scalar*<span class="keyword">&gt;</span>(x.derived().data());</div>
<div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160; </div>
<div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;  AccelDenseMatrix xmat{};</div>
<div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;  xmat.attributes = SparseAttributes_t();</div>
<div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;  xmat.columnCount = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(x.cols());</div>
<div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;  xmat.rowCount = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(x.rows());</div>
<div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;  xmat.columnStride = xmat.rowCount;</div>
<div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;  xmat.data = x_ptr;</div>
<div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160; </div>
<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;  AccelDenseMatrix bmat{};</div>
<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;  bmat.attributes = SparseAttributes_t();</div>
<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;  bmat.columnCount = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(b.cols());</div>
<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;  bmat.rowCount = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(b.rows());</div>
<div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;  bmat.columnStride = bmat.rowCount;</div>
<div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;  bmat.data = b_ptr;</div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160; </div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;  SparseSolve(*m_numericFactorization, bmat, xmat);</div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160; </div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;  updateInfoStatus(status);</div>
<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;}</div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160; </div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;}  <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160; </div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;<span class="preprocessor">#endif  </span><span class="comment">// EIGEN_ACCELERATESUPPORT_H</span></div>
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<div class="ttc" id="anamespaceEigen_html"><div class="ttname"><a href="namespaceEigen.html">Eigen</a></div><div class="ttdoc">Namespace containing all symbols from the Eigen library.</div><div class="ttdef"><b>Definition:</b> Core:139</div></div>
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